Image processing method based on artificial intelligence, microscope, system and medium
An image processing and microscope technology, applied in the field of image processing, can solve the problems of low feature recognition accuracy, low algorithm image resolution, and reduce the workload of professionals, and achieve the effect of promoting intelligence and improving recognition accuracy.
Active Publication Date: 2019-12-27
TENCENT TECH (SHENZHEN) CO LTD
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Problems solved by technology
[0003] At present, for the feature recognition results based on artificial intelligence algorithms, the accuracy of feature recognition is low due to the complexity of the features of microscopic images based on slices, the complexity of algorithms, and the low resolution of images. Generally as auxiliary information only
In addition, after the feature recognition results are processed by the artificial intelligence algorithm, professionals still need to review all the images one by one. It has been determined whether the feature recognition results based on the artificial intelligence algorithm are accurate, which makes the artificial intelligence algorithm not actually lower the professional level. workload
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[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.
[0041] "First", "second" and similar words used in the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. Likewise, "comprising" or "comprises" and similar words mean that the elements or items appearing before the word include the elements or items listed after the word and their equivalents, and do not exclude other elements or items. Words such as "connected" or "connected" a...
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The invention provides an image processing method based on artificial intelligence, a microscope, a system and a medium. The image processing method based on artificial intelligence comprises: obtaining a feature recognition result of an image, wherein the feature recognition result is obtained by conducting image processing on the image to recognize features in the image, and the image is obtained by conducting image collection on a slice; determining an imaging area in the visual field of an ocular lens for imaging the slice by a microscope; determining an image area corresponding to the imaging area in the image, and obtaining a feature recognition result of the image area as a to-be-displayed recognition result; and displaying the to-be-displayed identification result on the imaging area in an overlapping manner.
Description
technical field [0001] The present disclosure relates to the field of image processing, in particular to an image processing method, microscope, system and medium based on artificial intelligence. Background technique [0002] Artificial intelligence (Artificial Intelligence) technology can be widely used in various fields, such as the realization of smart home, smart medical care and so on. For example, artificial intelligence algorithms such as deep neural networks can be used to process images and realize feature recognition. Further, it can also assist in the realization of functions such as lesion recognition, making medical services more intelligent, and making limited medical resources available to more people. shared. For example, AI-assisted image analysis, AI-assisted pathological diagnosis, AI disease identification, AI health management, etc. [0003] At present, for the feature recognition results based on artificial intelligence algorithms, the accuracy of fe...
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IPC IPC(8): G06K9/00
CPCG06V20/695G06V20/698G02B21/365G06T7/11G06T2207/10056G06T2207/20081G06T2207/20084G06T2207/30024G06V20/69G06T7/62G02B21/34G02B21/367
Inventor 韩宝昌韩骁陈勇杨鹏
Owner TENCENT TECH (SHENZHEN) CO LTD